The Work Slop Problem
AI slop is everywhere on social media. But the version quietly spreading through your inbox — polished on the surface, hollow underneath — might be costing your company millions.
I'm a business consultant at ZS Associates, where I work with Fortune 500 pharmaceutical companies on brand strategy, commercial analytics, and the data infrastructure behind major product decisions.
I started samspoke as a place to think in public — to write about the ideas that interest me at the intersection of business, data, and technology. Mostly things I wish someone had explained more clearly when I was trying to figure them out myself.

I studied Biotechnology at R.V. College of Engineering in Bengaluru — not the most obvious starting point for a career in commercial analytics, but one that shaped how I think in lasting ways. It became a crash course in problem-solving, teaching me to break down complex questions, connect scientific thinking with real-world business decisions, and build a foundation for the work I do today in the pharmaceutical industry.
During my degree I worked on a predictive AI tool for identifying Alzheimer's-linked genetic mutations, and presented COVID-19 treatment protocol research at a national bioengineering conference. What I found, doing that work, was that the most interesting problems weren't the science itself — they were the decisions the science was supposed to inform.
That instinct led me to ZS Associates, a global consultancy focused on healthcare commercial strategy. Since joining in 2023, I've worked with Fortune 500 pharma clients on brand analytics, field-force strategy, forecasting models, and product launch execution — the decisions that determine whether a drug actually reaches the patients who need it.
I'm currently leading brand strategy and analytics engagements with a team, managing end-to-end delivery across stakeholder management, solution design, and finding insights. It's the kind of work where the quality of the analysis is only half the challenge; the other half is making sure the right people find the business relevance and act on it.
Away from consulting, I've always had one foot in education and social impact. Early in my career I helped design an entrepreneurship programmes and continue to be involved in tutoring young kids, indulging them in sports, career guidance and also offering guest lectures on healthcare analytics at my alma-matter RVCE. He enjoys travelling as a way to step into new environments and experience different ways of life. For him, meeting new people and understanding new perspectives is one of the most meaningful parts of the journey.
Five lenses on the modern world of work and technology.
How artificial intelligence is transforming industries, workflows, and decision-making — and where the hype ends and real value begins.
The business case for green, the tensions between growth and planet, and what genuine progress looks like beyond the press release.
Making sense of data to make better decisions — frameworks, pitfalls, and the gap between what the numbers say and what they mean.
How companies compete, adapt, and build lasting advantage — and the commercial decisions that separate good analysis from real impact.
The habits, systems, and mental models that help people do their best work consistently — without burning out.
A lot of my work involves turning complex analyses into decisions — and the hardest part is usually not the analysis. It's the communication: making sure the insight actually lands with the person who needs to act on it. Writing is, in many ways, the same problem at a different scale.
I started samspoke because I kept noticing ideas I couldn't find explained clearly anywhere — about how data misleads, how persuasion actually works, why some people avoid burnout while others don't. Writing them out forces me to test whether I actually understand them, or whether I just think I do. The tension between those two things is where most of the interesting work happens.
The goal has always been to write things I'd want to read myself: specific, evidence-informed, honest about uncertainty. If something I write gives you a framework you didn't have before — or makes you question one you did — that's a win.